GitHub - Aindstorm/Deep-behavioral-analysis: behavioral analysis of mfc customers based on deep models combined with random forest and gradient boosting

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behavioral analysis of mfc customers based on deep models combined with random forest and gradient boosting

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Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
.gitattributes		.gitattributes
Cluster analysis.ipynb		Cluster analysis.ipynb
Data preparation prt2.ipynb		Data preparation prt2.ipynb
Data preparation prt3.ipynb		Data preparation prt3.ipynb
Data preparation.ipynb		Data preparation.ipynb
LICENSE		LICENSE
Prediction (2 TF models).ipynb		Prediction (2 TF models).ipynb
TF model (1 lag).ipynb		TF model (1 lag).ipynb
TF model (2 lags).ipynb		TF model (2 lags).ipynb
get-embeddings.ipynb		get-embeddings.ipynb
random_forest + final output.ipynb		random_forest + final output.ipynb
readme.txt		readme.txt
xgboost.ipynb		xgboost.ipynb

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This repo includes behavioral analysis of mfc customers based on deep models combined with random forest and gradient boosting. 

Notebooks order:
1) Data preparation
2) Data preparation prt2
3) Data preparation prt3
4) TF model (1 lag)
5) TF model (2 lags)
6) get-embeddings
7) Cluster analysis
8) Prediction (2 TF models)
9) xgboost
10) random_forest + final output

Data is under NDA, so unfortunately can't share it.